Spatial-Temporal Pattern and Evolution Trend of the Cultivated Land Use Eco-Efficiency in the National Pilot Zone for Ecological Conservation in China

Abstract

The cultivated land use eco-efficiency (CLUE) is an important indicator to evaluate ecological civilization construction in China. Research on the spatial-temporal pattern and evolution trend of the CLUE can help to assess the level of ecological civilization construction and reveal associated demonstration and driving effects on surrounding areas. Based on the perspective of the CLUE, this paper obtains cultivated land use data pertaining to National Pilot Zones for Ecological Conservation in China and neighboring provinces from 2008 to 2018. In this study, the SBM-undesirable, Moran’s I, and Markov chain models are adopted to quantitatively measure and analyze the CLUE and its temporal and spatial patterns and evolution trend. The research results indicate that the CLUE in the whole study area exhibited the characteristics of one growth, two stable, and two decline stages, with a positive spatial autocorrelation that increased year by year, and a spatial spillover effect was observed. Geographical spatial patterns and spatial spillover effects played a major role in the evolution of the CLUE, and there occurred a higher probability of improvement in the vicinity of cities with high CLUE values. In the future, practical construction experience should be disseminated at the provincial level, and policies and measures should be formulated according to local conditions. In addition, a linkage model between prefecture-level cities should be developed at the municipal level to fully manifest the positive spatial spillover effect. Moreover, we should thoroughly evaluate the risk associated with CLUE transition from high to low levels and establish a low-level early warning mechanism.

Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China

“…In particular, the Ruoerge Wetland National Nature Reserve and Wolong National Nature Reserve in the Sanzhou region of Sichuan Province have been hotspots of research in the field of ecology [64][65][66][67]. In addition, studies on habitat quality changes also involve the Three Gorges Reservoir Area, the National Ecological Protection Pilot Area and planted forest vegetation [68][69][70]. Secondly, the ecological resistance surface based on ecosystem service value is revised by integrating the three dimensions of topography and hydrology, ecological environment and development and utilization intensity.…”

“…In addition, there were some subjective aspects in determining the selection factors and assigning weights to the resistance surfaces in the MCR model, despite the use of an expert scoring mechanism. In future, it is possible to focus on more microscopic study areas, such as the Three Gorges Reservoir Area, the National Ecological Protection Pilot Area and planted forest vegetation [68][69][70]. Changes in ecosystem quality, outcomes and efficiency are understood through more specific and nuanced studies.…”

Spatial–Temporal pattern and evolutionary trend of eco-efficiency of real estate development in the yangtze river economic belt

“…Spatial autocorrelation analysis is the mainstream evaluation method used to describe spatial correlation and spatial heterogeneity, including global spatial autocorrelation and local spatial autocorrelation (Fan et al, 2022). Global spatial autocorrelation can be used to judge the spatial correlation characteristics of the eco-efficiency of RED from a global perspective.…”

The Improvement Path for Regionally Coordinated Green Development: Evidence from Social Network Analysis

“…The spatial connections influencing eco-efficiency have been discussed extensively in the literature. However, the majority of these studies discussed the spatial connections of eco-efficiency in a linear way [ 14 , 15 ]. In contrast, the spatial connections influencing eco-efficiency are likely to be nonlinear and modelling them in a linear way may cause biased policy-making decisions.…”